Associate Professor of Toxicology
Department of Health Toxicology
*chenqiran@hust.edu.cn
Academic Areas
Computational Toxicology, Environmental Toxicology
Research Interests
1. Prediction of chemical-induced toxicity using machine learning and artificial intelligence
2. Physiologically-based pharmacokinetic modeling
3. Health risk assessment of emerging chemical contaminants
Education
2015.08-2020.12 Ph.D. in Department of Environmental and Occupational Health School of Public Health , Indiana University
2012.08-2014.05 M.P.H. in Department Epidemiology School of Public Health , Indiana University
2008.08-2012.06 B.S. in Bioscience College of Life Sciences , Nankai University
Professional/working Experience
2021.07-present Associate Professor in Department of Health Toxicology
Tongji Medical College
Huazhong University of Science and Technology, Wuhan, China
2021.05-2025.10 Postdoctoral Associate in Department of Environmental and Global Health
College of Public Health and Health Professions
University of Florida
2021.01-2021.05 Postdoctoral Fellow in Department of Anatomy and Physiology
College of Veterinary Medicine
Kansas State University
Select Publications
Journal Article
1.Chen, Q., Chou, W. C., & Lin, Z. (2022). Integration of Toxicogenomics and Physiologically Based Pharmacokinetic Modeling in Human Health Risk Assessment of Perfluorooctane Sulfonate. Environmental science & technology, 56(6), 3623–3633.
2.Chen, Q., Riviere, J. E., & Lin, Z. (2022). Toxicokinetics, dose-response and risk assessment of nanomaterials: methodology, challenges, and future perspectives. WIRES Nanomedicine and Nanobiotechnology, 14(6), e1808.
3.Yuan, L.*, Chen, Q. *, Reviere, J. E., Lin, Z. (2023). Pharmacokinetics and tumor delivery of nanoparticles. Journal of Drug Delivery Science and Technology, 83: 104404.
4.Chen, Q. *, Yuan, L. *, Chou, W. C., Cheng, Y., He, C., Monteiro-Riviere, N., Riviere, J. E., Lin, Z. (2023). Meta-analysis of nanoparticle distribution in tumors and major organs in tumor-bearing mice. ACS Nano, 19810-19831.
5.Chou, W. C., Chen, Q., Yuan, L., Cheng, Y. H., He, C., Monteiro-Riviere, N. A., Riviere, J. E., & Lin, Z. (2023). An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice. Journal of Controlled Release, 361, 53-63.
6.Chen, Q.*, Zhou Y.*, Chao J., Klaunig, J. E., Shao K. (2023). Quantitative Integration of Mode of Action Information in Dose-Response Modeling and POD Estimation for non-mutagenic carcinogens: A Case Study of TCDD. Environmental Health Perspectives, 131(12): 127022.
7.Chen, Q., Lin, Z., Davis, J. L., Toney, E., Clapham, M. O., Wu, X., Tell. L. A. (2024). Residue Depletion Profiles and Withdrawal Intervals in Goat Plasma and Milk of Florfenicol after Subcutaneous Administration. Regulatory Toxicology and Pharmacology, 105707.
Book Chapter
1.Lin, Z., Chen, Q. Fisher, J. W. (2024). Pharmacokinetics and PBPK Models During Pregnancy, Lactation, and Developmental Stages. In Comprehensive Toxicology (4th Edition). Jeffrey W. Fisher (Editor). Elsevier, Inc. https://doi.org/10.1016/B978-0-323-95488-4.00157-1.
2.Chen, Q., Lin, Z. (2025). Application of machine learning and artificial intelligence methods in toxicity and risk assessment of chemical mixtures. In Machine Learning and Artificial Intelligence in Toxicology and Environmental Health. Lin, Z., Chou, W. C. (Editor). Elsevier, Inc. https://doi.org/10.1016/B978-0-443-30010-3.00008-8.
3.Lin, Z., Zhang, Z., Chen, C. Y., Chen, Q., Wu, P.Y. (2025). Application of machine learning and artificial intelligence methods in toxicity assessment of nanoparticles. In Machine Learning and Artificial Intelligence in Toxicology and Environmental Health. Lin, Z., Chou, W. C. (Editor). Elsevier, Inc. https://doi.org/10.1016/B978-0-443-30010-3.00008-8.
